| rasbt/python-machine-learning-book |
11,645 |
|
0 |
0 |
over 3 years ago |
0 |
|
11 |
mit |
Jupyter Notebook |
| The "Python Machine Learning (1st edition)" book code repository and info resource |
| sktime/sktime |
7,174 |
|
0 |
57 |
about 2 years ago |
57 |
November 06, 2023 |
912 |
bsd-3-clause |
Python |
| A unified framework for machine learning with time series |
| biolab/orange3 |
4,469 |
|
57 |
47 |
about 2 years ago |
63 |
October 31, 2023 |
99 |
other |
Python |
| 🍊 :bar_chart: :bulb: Orange: Interactive data analysis |
| aeon-toolkit/aeon |
723 |
|
0 |
3 |
about 2 years ago |
8 |
October 05, 2023 |
167 |
bsd-3-clause |
Python |
| A toolkit for conducting machine learning tasks with time series data |
| ashishpatel26/Amazing-Feature-Engineering |
485 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself. |
| ZhiningLiu1998/imbalanced-ensemble |
234 |
|
0 |
4 |
over 2 years ago |
10 |
July 22, 2023 |
0 |
mit |
Python |
| Class-imbalanced Ensemble Learning in Python. | 类别不平衡/长尾机器学习库 |
| habedi/PracticalMachineLearning |
79 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
bsd-3-clause |
Jupyter Notebook |
| A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source |
| scikit-mine/scikit-mine |
56 |
|
0 |
1 |
almost 3 years ago |
12 |
May 12, 2021 |
11 |
bsd-3-clause |
Python |
| scikit-mine : pattern mining in Python |
| SravB/Algorithmic-Trading |
46 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| Algorithmic trading using machine learning. |
| lgaalves/AppliedMathSchoolLectures |
43 |
|
0 |
0 |
almost 7 years ago |
0 |
|
|
other |
Jupyter Notebook |
| Lectures on "crime and political corruption analysis using data mining, machine learning and complex networks" at the School of Applied Mathematics in the Institute of Mathematics and Computer Science at University of São Paulo |
